Controlling multi-stage manufacturing process based on internet of things (IOT) sensors and cognitive rule induction

This invention describes a system for automatically controlling multi-stage manufacturing processes. It uses machine learning to analyze historical production data, identifying how processing conditions influence product quality. Based on this learning, the system then uses real-time sensor data from the factory floor to trigger control rules, automatically adjusting machinery settings to optimize production.

Why it matters: Since 2019, the maturation of edge computing and cloud-native machine learning platforms has significantly reduced the complexity and cost of deploying real-time cognitive rule induction systems in industrial settings, making this approach more accessible for manufacturers.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedMachine learning software, industrial control integration

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10